Top Data Analyst Jobs in Bucharest

Administer and support Planisware PPM systems, ensure data integrity, build automated reports and interactive dashboards (Google Data Studio/SAP Analytics Cloud), develop Excel/Sheets macros, extract/clean project data, and support PMO stakeholders with KPI reporting and documentation.

Drive GTM operational excellence by managing partner inbound flows, maintaining CRM and data hygiene, producing pipeline and status reporting, coordinating stakeholder communications, and configuring platform settings and automations to improve customer operations and forecasting accuracy.

Build and own a forecasting model for clinical site payments outside Medidata Payments, link forecasts with Medidata, produce client-ready deliverables, ensure revenue recognition compliance, support audits, reconciliation at study closeout, and collaborate with FP&A, Clinical Payments, Project Analysts, and other stakeholders.

Lead delivery of end-to-end data and analytics solutions: build dimensional models, develop Power BI dashboards, perform exploratory analysis, design Azure-based data pipelines, capture client requirements, run scenario modelling, test and assure solutions, prepare client communications and lead project teams.

Lead data and analytics projects: design dimensional models, build Power BI dashboards, run exploratory analysis, capture client requirements, develop end-to-end data pipelines on Azure, test and assure solutions, support client decision-making, and contribute to business generation and people development.

Coordinate and prepare materials for awards and Sustainable Finance initiatives: gather, validate, and format ESG data; assess ESG risk ratings and client eligibility; create slide decks, case studies, and tombstones; ensure accuracy, traceability, and timely delivery across multiple stakeholders.

Coordinate end-to-end data collection and consolidation for awards and Sustainable Finance initiatives; prepare and structure application materials and slide decks; collect, validate, and format ESG data per Front Office templates; review ESG risk ratings and assess client eligibility; create case studies and tombstones; maintain accurate, traceable workflows across stakeholders.

Own marketing measurement and signal engineering across Meta, Google Ads, TikTok, and other ad platforms. Build and maintain server-to-server conversion pipelines, pixels, GTM releases, attribution conventions, marketing datasets, monitoring, alerts, and performance reports. Partner with Marketing, Product, Data Engineering, and ad platform representatives to improve signal quality, campaign optimization, and conversion tracking. The role requires advanced SQL, ad technology expertise, visualization skills, tracking knowledge, and clear communication with technical and nontechnical stakeholders.

Support SEE Growth team by tracking growth KPIs, building and maintaining scalable reports/tools, enabling data access, running ad-hoc analyses, and driving marketing activations from analysis through execution.

Own end-to-end product analytics for the Pro team: build production-grade pipelines and dbt models, define north-star metrics, design A/B tests and causal inference frameworks, create dashboards and metric frameworks, embed AI tooling, and translate insights into product recommendations for leadership.

Gather business requirements, analyze and profile enterprise data, develop KPIs, reporting frameworks, and analytical models. Perform forecasting, scenario modeling, and statistical analysis, validate dashboards and reports, and collaborate with business and technical teams to support strategic workforce planning and decision-making.

Analyze large datasets to identify trends and deliver actionable insights; design and monitor KPIs; build and maintain dashboards and reporting frameworks; conduct ad hoc analyses; ensure data quality and support reporting infrastructure in partnership with product and business teams.

Early-career Data Analyst responsible for designing and owning core metrics and dashboards, analyzing transaction/customer/credit data to inform credit, fraud, AML, portfolio and growth decisions, building data pipelines and automations with SQL and Python, partnering with cross-functional teams, and owning compliance reporting. Emphasis on turning ambiguous problems into reliable analytical systems and applying GenAI/LLMs for practical automation.

Analyze and instrument offsite discovery and SEO/GEO performance for ecommerce sites. Build integrations, ETL pipelines, and models to track organic and AI-driven traffic. Create tooling and frameworks for technical site audits, landing page modelling, SEO experiments, and enablement for product and customer teams.

Translate business requirements into data logic, specifications and metadata; create data models, workflows and documentation; ensure data quality, lineage, privacy and security; support DevOps and architects; design/execute functional tests; manage stakeholders and improve governance and delivery.

Translate business requirements into data logic, specifications, metadata and validations to ensure governed, traceable, high-quality data. Create data models, documentation, tests and dashboards; collaborate with architects and DevOps, manage stakeholders, improve data quality and governance, and support retail data products.

Acts as the bridge between business stakeholders and data teams by gathering requirements, defining functional specifications, documenting data mappings and ETL/ELT processes, supporting Databricks data pipeline development, establishing data quality rules, and leading testing and UAT. The role performs impact and root cause analysis, ensures data traceability, and validates successful implementation of data solutions.

Performs source-to-target data mapping for banking system migrations, defining transformation, derivation, lookup, reconciliation, and loading rules. Analyzes legacy systems, profiles and cleanses data, validates mapping logic with business stakeholders and vendors, and ensures regulatory field coverage. Supports SQL transformations, migration-tool configuration, cutover planning, dry runs, go-live execution, and financial reconciliation while maintaining mapping documentation and status reporting.

The Senior Project Controls Analyst will manage project controls, analyze cost and schedule data, participate in reporting, and support financial performance analysis for projects.

Unify and model data from multiple sources, define global data standards, create source-to-target mappings, and support data quality, lineage, and governance. The role analyzes stakeholder requirements, coaches colleagues on data models, designs solutions, manages product backlogs and release plans, reports progress, and helps mitigate delivery impediments. Candidates need data management expertise, strong SQL, banking or risk knowledge, regulatory change experience, Agile experience, and advanced English.

Analyze mobile games data to track performance, design and execute A/B tests, report on user engagement, and recommend optimizations.

Analyzes clinical and operational data for centralized monitoring and risk-based quality management. Supports Data Surveillance Plan development, configures surveillance technologies, identifies trends, outliers, and data quality issues, documents findings, and escalates risks. Participates in project, investigator, audit, and regulatory meetings, collaborates with global teams, and supports client-ready reporting and issue management.

Analyze and model data from 20+ countries to support KYC/KYC-related applications (Transaction Monitoring, CDD, Screening). Define data requirements, ensure data quality and governance, support incident fixes, translate regulatory requirements into functional designs, and collaborate across international stakeholders to optimize and automate data processes.

Act as liaison between business/IT stakeholders and the development squad for IPA SDM and TradeStore. Elicit, analyze and translate business and data requirements into user stories/specifications with acceptance criteria. Define data quality rules, support testing and regression automation, investigate defects, present sprint deliveries, maintain documentation, and drive continuous delivery improvements in an Agile environment.

Work on ESG-related data and platforms: define global data definitions, create conceptual models and mappings, specify data quality/lineage/governance requirements, support developers, coach stakeholders, report progress, solve complex IT problems, and improve standards while collaborating with interdisciplinary teams in an Agile environment.